JOURNAL ARTICLE

Factors affecting deep learning of EFL students in higher vocational colleges under small private online courses‐based settings: A grounded theory approach.

  • Published In: Journal of Computer Assisted Learning, 2024, v. 40, n. 6. P. 3098 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jiang, Liping; Lv, Menglei; Cheng, Mengmeng; Chen, Xia; Peng, Changhong 3 of 3

Abstract

Background: The introduction of Small Private Online Courses (SPOCs) in English as a Foreign Language (EFL) instruction at Higher Vocational Colleges (HVCs) signifies a shift in education. Understanding the factors that affect deep learning in this SPOC context is crucial for improving educational outcomes. Objectives: By employing grounded theory, we seek to explore the key factors that shape deep learning experiences for students in SPOC learning environments at HVCs and clarify the interrelationships among these influencing factors. Methods: Semi‐structured interviews were conducted with 18 EFL students and 4 teachers and NVivo 11 software was utilised to aid in the qualitative analysis of the collected data. Through a rigorous three‐tier coding analysis, an "environment‐person‐mediation ‐behaviour" (EPMB) model was constructed, aiming to clarify the mechanisms that influence deep learning among EFL students in HVCs. Results: Our findings reveal that intrinsic motivation and cognitive abilities are crucial for deep learning among EFL students in HVCs. Blended learning settings, English curriculum satisfaction, and English teachers' teaching methods serve as situational influencing factors. These factors are interconnected, mediating positive or negative effects on deep learning through various intermediaries like continuity, attraction, guidance, motivation, and regulation. Implications: The findings offer pedagogical insights for HVC stakeholders, enabling them to enhance students' deep learning experiences. Lay Description: What is already known about this topic: SPOCs are reshaping EFL instruction in HVCs, emphasising active student involvement and instructor guidance.Challenges in SPOC‐based blended learning include concerns about depth due to temporal and spatial separation.Current foreign language designs lack the integration of deep learning concepts, revealing gaps in understanding influencing factors. What this paper adds: The study introduces an "environment‐person‐mediation ‐behaviour" (EPMB) model to uncover intricate factors influencing deep learning in SPOC environments.Intrinsic motivation and cognitive abilities are identified as fundamental factors, with situational contributors such as blended‐learning settings and curriculum satisfaction.Logical relationships among major factors are unveiled, explaining how continuity, attraction, guidance, motivation, and regulation mediate deep learning experiences. Implications for practice or policy: Stakeholders in HVCs can use pedagogical insights to enhance students' deep learning experiences in SPOC environments.Curriculum providers should prioritise practical, professional, and student‐specific English curriculum designs.Teachers should integrate English language learning with professional course content and create specialised materials to enhance language learning practicality. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Computer Assisted Learning. 2024/12, Vol. 40, Issue 6, p3098
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:0266-4909
  • DOI:10.1111/jcal.13060
  • Accession Number:180899691
  • Copyright Statement:Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.